Skip to main content

Regularization and Inverse Theory

  • Chapter
  • First Online:
Book cover Variational Regularization of 3D Data

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

  • 1765 Accesses

Abstract

Now we are going to apply inverse theory to formalize the techniques developed in former chapters, especially the regularization method used for cubic splines. Inverse theory is one of the great achievements of applied mathematics and its applications are at the core of modern technology. Thus we formulate the theory in general terms and then, to the interpolation problem.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hebert Montegranario .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 The Author(s)

About this chapter

Cite this chapter

Montegranario, H., Espinosa, J. (2014). Regularization and Inverse Theory. In: Variational Regularization of 3D Data. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0533-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-0533-1_6

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4939-0532-4

  • Online ISBN: 978-1-4939-0533-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics